Resource Type

Journal Article 464

Year

2023 42

2022 55

2021 63

2020 31

2019 29

2018 29

2017 32

2016 34

2015 27

2014 7

2013 12

2012 12

2011 10

2010 8

2009 5

2008 7

2007 9

2006 8

2005 10

2004 5

open ︾

Keywords

Multi-agent systems 10

systems engineering 9

machine learning 6

renewable energy 5

Cyber-physical systems 4

Multi-agent system 4

systems biology 4

China 3

complex systems 3

management 3

Access control 2

Adaptive dynamic programming 2

Attribute-based encryption 2

Bioretention 2

Cloud storage 2

Complex systems 2

Data-driven control 2

Database schemata 2

Fuel consumption 2

open ︾

Search scope:

排序: Display mode:

Real-world fuel consumption of light-duty passenger vehicles using on-board diagnostic (OBD) systems

Xuan Zheng, Sheng Lu, Liuhanzi Yang, Min Yan, Guangyi Xu, Xiaomeng Wu, Lixin Fu, Ye Wu

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 2, doi: 10.1007/s11783-019-1212-6

Abstract: • Fuel consumption (FC) from LDPVs is measured using on-board diagnostic method (OBD). • The FC ofThe on-board diagnostic (OBD) approach, which is flexible and offers high-resolution data collection,

Keywords: Fuel consumption     Light-duty passenger vehicles     On-board diagnostic systems    

High-emitter identification for heavy-duty vehicles by temporal optimization LSTMand an adaptive dynamic threshold Research Article

Zhenyi XU, Renjun WANG, Yang CAO, Yu KANG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1633-1646 doi: 10.1631/FITEE.2300005

Abstract: Heavy-duty diesel vehicles are important sources of urban nitrogen oxides (NO) in actual applications for environmental compliance, emitting more than 80% of NO and more than 90% of particulate matter (PM) in total vehicle emissions. The detection and control of heavy-duty diesel emissions are critical for protecting public health. Currently, vehicles on the road must be regularly tested, every six months or once a year, to filter out high-emission mobile sources at vehicle inspection stations. However, it is difficult to effectively screen high-emission vehicles in time with a long interval between annual inspections, and the fixed threshold cannot adapt to the dynamic changes of vehicle driving conditions. An is installed inside the vehicle and can record the vehicle’s emission data in real time. In this paper, we propose a long short-term memory (LSTM) and adaptive approach to identify heavy-duty high-emitters by using OBD data, which can continuously track and record the emission status in real time. First, a LSTM emission prediction model is established to solve the attention bias discrepancy problem on time steps that is caused by the large number of OBD data streams in practice. Then, the concentration prediction error sequence is detected and distinguished from the anomalous emission contexts using flexible criteria, calculated by an adaptive with changing driving conditions. Finally, a similarity metric strategy for the time series is introduced to correct some pseudo anomalous results. Experiments on three real OBD time-series emission datasets demonstrate that our method can achieve high accuracy anomalous emission identification.

Keywords: High-emitter identification     Temporal optimization     On-board diagnostic device (OBD)     Dynamic threshold    

Design on the board of spiral cooling tower

Huang Rui

Strategic Study of CAE 2008, Volume 10, Issue 11,   Pages 43-46

Abstract: spiral line on the central axial pipe, as well as the topologic shape in the plane for the curving boardAccording to the basic parameters of cooling tower, the critic parameters of spiral curving board canbe ascertainable, so as to accurately link up the tower board with the tower wall and the inner axial

Keywords: cooling tower     board     spiral curving board     topology    

Increased expression of coronin-1a in amyotrophic lateral sclerosis: a potential diagnostic biomarker

Frontiers of Medicine 2022, Volume 16, Issue 5,   Pages 723-735 doi: 10.1007/s11684-021-0905-y

Abstract: Amyotrophic lateral sclerosis (ALS) is the most common motor neuron disease. At present, no definite ALS biomarkers are available. In this study, exosomes from the plasma of patients with ALS and healthy controls were extracted, and differentially expressed exosomal proteins were compared. Among them, the expression of exosomal coronin-1a (CORO1A) was 5.3-fold higher than that in the controls. CORO1A increased with disease progression at a certain proportion in the plasma of patients with ALS and in the spinal cord of ALS mice. CORO1A was also overexpressed in NSC-34 motor neuron-like cells, and apoptosis, oxidative stress, and autophagic protein expression were evaluated. CORO1A overexpression resulted in increased apoptosis and oxidative stress, overactivated autophagy, and hindered the formation of autolysosomes. Moreover, CORO1A activated Ca2+-dependent phosphatase calcineurin, thereby blocking the fusion of autophagosomes and lysosomes. The inhibition of calcineurin activation by cyclosporin A reversed the damaged autolysosomes. In conclusion, the role of CORO1A in ALS pathogenesis was discovered, potentially affecting the disease onset and progression by blocking autophagic flux. Therefore, CORO1A might be a potential biomarker and therapeutic target for ALS.

Keywords: amyotrophic lateral sclerosis     coronin-1a     autophagy     pathogenesis    

Obesity in China: its characteristics, diagnostic criteria, and implications

Weiping Jia

Frontiers of Medicine 2015, Volume 9, Issue 2,   Pages 129-133 doi: 10.1007/s11684-015-0387-x

Meta-analysis of the diagnostic efficiency of frequency-doubling technology for primary glaucoma

LIU Ting, HE Xiangge

Frontiers of Medicine 2007, Volume 1, Issue 1,   Pages 109-114 doi: 10.1007/s11684-007-0021-7

Abstract: The overall diagnostic capabilities and utility of frequency-doubling technology (FDT) in patients withCriteria for inclusion or exclusion were established according to validity criteria for diagnostic studiespublished by the Cochrane Methods Group on Screening and Diagnostic Tests.The included articles are of good quality and FDT can be a highly efficient diagnostic test for primary

Keywords: inclusion     sensitivity analysis     correction     specificity     appropriate    

Development and application of reconfigurable monitoring and diagnostic system oriented to machine tool

Jing Minqing,Li Meng,Liu Heng

Strategic Study of CAE 2013, Volume 15, Issue 1,   Pages 34-38

Abstract: quot;system engine + function component" architecture for the reconfigurable monitoring and diagnosticThis paper has also developed a series of regular monitoring and diagnostic components for computer numericalThen the monitoring and diagnostic system for specific machine tools, which has been running in

Keywords: monitoring and diagnostic system for machine tool     reconfigurable     system engine     function component    

An investigation on patient dose in screen-film diagnostic radiology in Lhasa City, Xizang Autonomous

Xiang Du

Frontiers of Medicine 2013, Volume 7, Issue 4,   Pages 506-509 doi: 10.1007/s11684-013-0294-y

Abstract:

This study aimed to investigate patient dose in diagnostic screen-film radiographic examinations in

Keywords: radiation dosage     radiology     radiation protection     radiography/statistics & numerical data    

Diagnostic criteria of latent autoimmune diabetes in adults (LADA): a review and reflection

Yu Liao, Yufei Xiang, Zhiguang Zhou

Frontiers of Medicine 2012, Volume 6, Issue 3,   Pages 243-247 doi: 10.1007/s11684-012-0201-y

Abstract: Although it has been reported for about 20 years, the diagnostic criteria of this disease remain controversialHere, we aim to review and discuss the diagnostic criteria of latent autoimmune diabetes in adults.

Keywords: LADA     diagnostic criteria     autoantibodies     insulin independence     age of diagnosis    

treatment of reproductive diseases and infertility: an overview from the mechanism to the clinic alongside diagnostic

Frontiers of Medicine 2022, Volume 16, Issue 6,   Pages 827-858 doi: 10.1007/s11684-022-0948-8

Abstract: Infertility is experienced by 8%12% of adults in their reproductive period globally and has become a prevalent concern. Besides routine therapeutic methods, stem cells are rapidly being examined as viable alternative therapies in regenerative medicine and translational investigation. Remarkable progress has been made in understanding the biology and purpose of stem cells. The affected pluripotent stem cells (iPSCs) and mesenchymal stem cells (MSCs) are further studied for their possible use in reproductive medicine, particularly for infertility induced by premature ovarian insufficiency and azoospermia. Accordingly, this study discusses current developments in the use of some kinds of MSCs such as adipose-derived stem cells, bone marrow stromal cells, umbilical cord MSCs, and menstrual blood MSCs. These methods have been used to manage ovarian and uterine disorders, and each technique presents a novel method for the therapy of infertility.

Keywords: infertility     stem cell therapy     mesenchymal stem cells     pluripotent stem cells    

Intelligent fault diagnostic system based on RBR for the gearbox of rolling mills

Lixin GAO, Lijuan WU, Yan WANG, Houpei WEI, Hui YE

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4,   Pages 483-490 doi: 10.1007/s11465-010-0118-6

Abstract: This paper presents an intelligent system that is necessary for diagnostic accuracy and efficiency inA rule-based reseaning (RBR) intelligent diagnostic system has been developed based on many successfuldiagnostic applications.

Keywords: rule-based reasoning     fault diagnosis     intelligent system     gear box    

iTRAQ-based quantitative analysis of cancer-derived secretory proteome reveals TPM2 as a potential diagnostic

Yiming Ma,Ting Xiao,Quan Xu,Xinxin Shao,Hongying Wang

Frontiers of Medicine 2016, Volume 10, Issue 3,   Pages 278-285 doi: 10.1007/s11684-016-0453-z

Abstract:

Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. We aimed to find novel molecules as potential biomarkers for the early diagnosis of CRC. A serum-free conditioned medium was successfully collected from three pairs of CRC tissue and adjacent normal tissue. iTRAQ-based quantitative proteomic analysis was applied to compare the differences in secretome between primary CRC mucosa and adjacent normal mucosa. A total of 145 kinds of proteins were identified. Of these proteins, 29 were significantly different between CRC and normal tissue. Tropomyosin 2 β (TPM2) exhibited the most significant differences; as such, this protein was selected for further validation. Quantitative real-time PCR indicated that the mRNA expression of TPM2 significantly decreased in the CRC tissue compared with the paired adjacent normal tissue. Immunohistochemical analysis also confirmed that TPM2 was barely detected at protein levels in the CRC tissue. In summary, this study revealed potential molecules for future biomarker applications and provided an efficient approach for the differential analysis of cancer-associated secretome. TPM2 may be valuable for the early diagnosis of CRC.

Keywords: iTRAQ     secretome     colorectal cancer     TPM2    

Acetylated HOXB9 at lysine 27 is of differential diagnostic value in patients with pancreatic ductal

Xiaoran Sun, Jiagui Song, Jing Zhang, Jun Zhan, Weigang Fang, Hongquan Zhang

Frontiers of Medicine 2020, Volume 14, Issue 1,   Pages 91-100 doi: 10.1007/s11684-019-0696-6

Abstract: The present study aims to investigate the differential diagnostic role of patients with AcK27-HOXB9 PDACThe determination of ratio between HOXB9 and AcK27-HOXB9 exhibited potential diagnostic value in patients

Keywords: HOXB9     AcK27-HOXB9     PDAC    

Introduction to the Special Issue on Additive Manufacturing

Editorial Board of Special Issue on Additive Manufacturing

Engineering 2017, Volume 3, Issue 5, doi: 10.1016/J.ENG.2017.05.027

The design and implementation of remote intelligent condition monitoring and diagnostic system for wind

Yang Wenguang and Jiang Dongxiang

Strategic Study of CAE 2015, Volume 17, Issue 3,   Pages 24-29

Abstract:

This paper researched the key technology of remote intelligent condition monitoring and diagnostic

Keywords: wind turbine     diagnostic system     fuzzy expert system    

Title Author Date Type Operation

Real-world fuel consumption of light-duty passenger vehicles using on-board diagnostic (OBD) systems

Xuan Zheng, Sheng Lu, Liuhanzi Yang, Min Yan, Guangyi Xu, Xiaomeng Wu, Lixin Fu, Ye Wu

Journal Article

High-emitter identification for heavy-duty vehicles by temporal optimization LSTMand an adaptive dynamic threshold

Zhenyi XU, Renjun WANG, Yang CAO, Yu KANG

Journal Article

Design on the board of spiral cooling tower

Huang Rui

Journal Article

Increased expression of coronin-1a in amyotrophic lateral sclerosis: a potential diagnostic biomarker

Journal Article

Obesity in China: its characteristics, diagnostic criteria, and implications

Weiping Jia

Journal Article

Meta-analysis of the diagnostic efficiency of frequency-doubling technology for primary glaucoma

LIU Ting, HE Xiangge

Journal Article

Development and application of reconfigurable monitoring and diagnostic system oriented to machine tool

Jing Minqing,Li Meng,Liu Heng

Journal Article

An investigation on patient dose in screen-film diagnostic radiology in Lhasa City, Xizang Autonomous

Xiang Du

Journal Article

Diagnostic criteria of latent autoimmune diabetes in adults (LADA): a review and reflection

Yu Liao, Yufei Xiang, Zhiguang Zhou

Journal Article

treatment of reproductive diseases and infertility: an overview from the mechanism to the clinic alongside diagnostic

Journal Article

Intelligent fault diagnostic system based on RBR for the gearbox of rolling mills

Lixin GAO, Lijuan WU, Yan WANG, Houpei WEI, Hui YE

Journal Article

iTRAQ-based quantitative analysis of cancer-derived secretory proteome reveals TPM2 as a potential diagnostic

Yiming Ma,Ting Xiao,Quan Xu,Xinxin Shao,Hongying Wang

Journal Article

Acetylated HOXB9 at lysine 27 is of differential diagnostic value in patients with pancreatic ductal

Xiaoran Sun, Jiagui Song, Jing Zhang, Jun Zhan, Weigang Fang, Hongquan Zhang

Journal Article

Introduction to the Special Issue on Additive Manufacturing

Editorial Board of Special Issue on Additive Manufacturing

Journal Article

The design and implementation of remote intelligent condition monitoring and diagnostic system for wind

Yang Wenguang and Jiang Dongxiang

Journal Article